| User | shaneGH |
| Upload Date | July 17 2025 07:20 AM |
| Views | 8 |
| AI Information | |
|---|---|
| Framework | OpenVINO |
| Backend | CPU |
| Device | AMD Ryzen Embedded R2514 with Radeon Graphics |
| System Information | |
|---|---|
| Operating System | Microsoft Windows 10 IoT Enterprise LTSC (64-bit) |
| Model | Default string Default string |
| Motherboard | Default string Default string |
| Power Plan | AMD Ryzen Balanced |
| CPU Information | |
|---|---|
| Name | AMD Ryzen Embedded R2514 with Radeon Graphics |
| Topology | 1 Processor, 4 Cores, 8 Threads |
| Identifier | AuthenticAMD Family 23 Model 24 Stepping 1 |
| Base Frequency | 2.10 GHz |
| Cluster 1 | 4 Cores |
| Memory Information | |
|---|---|
| Size | 16.00 GB |
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
712
132.4 IPS |
|
|
Image Classification (HP)
|
100% |
714
132.8 IPS |
|
|
Image Classification (Q)
|
100% |
722
134.3 IPS |
|
|
Image Segmentation (SP)
|
100% |
475
7.70 IPS |
|
|
Image Segmentation (HP)
|
100% |
458
7.42 IPS |
|
|
Image Segmentation (Q)
|
99% |
616
10.0 IPS |
|
|
Pose Estimation (SP)
|
100% |
1201
1.40 IPS |
|
|
Pose Estimation (HP)
|
100% |
1188
1.39 IPS |
|
|
Pose Estimation (Q)
|
94% |
1383
1.62 IPS |
|
|
Object Detection (SP)
|
100% |
613
48.6 IPS |
|
|
Object Detection (HP)
|
100% |
620
49.2 IPS |
|
|
Object Detection (Q)
|
87% |
717
57.5 IPS |
|
|
Face Detection (SP)
|
100% |
1328
15.8 IPS |
|
|
Face Detection (HP)
|
100% |
1345
16.0 IPS |
|
|
Face Detection (Q)
|
97% |
2155
25.7 IPS |
|
|
Depth Estimation (SP)
|
100% |
1721
13.3 IPS |
|
|
Depth Estimation (HP)
|
99% |
1724
13.3 IPS |
|
|
Depth Estimation (Q)
|
81% |
1803
14.2 IPS |
|
|
Style Transfer (SP)
|
100% |
3564
4.58 IPS |
|
|
Style Transfer (HP)
|
100% |
3540
4.55 IPS |
|
|
Style Transfer (Q)
|
98% |
3987
5.14 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
768
28.4 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
763
28.2 IPS |
|
|
Image Super-Resolution (Q)
|
98% |
857
31.7 IPS |
|
|
Text Classification (SP)
|
100% |
913
1.22 KIPS |
|
|
Text Classification (HP)
|
100% |
919
1.23 KIPS |
|
|
Text Classification (Q)
|
91% |
429
577.1 IPS |
|
|
Machine Translation (SP)
|
100% |
1264
21.8 IPS |
|
|
Machine Translation (HP)
|
100% |
1257
21.6 IPS |
|
|
Machine Translation (Q)
|
100% |
1246
21.5 IPS |